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All Journal Jurnal Dedikasi MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) DINAMIKA DOTCOM TEKNOLOGI INFORMASI SMATIKA Jurnal Ilmiah KOMPUTASI JPM (Jurnal Pemberdayaan Masyarakat) Jurnal Technopreneur (JTech) PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jurnal Inovasi Teknologi dan Edukasi Teknik BIMASAKTI Prosiding SeNTIK STI&K Smatika Jurnal : STIKI Informatika Jurnal
Weda Adistianaya Dewa
STMIK PPKIA Pradnya Paramita Malang
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Journal : SMATIKA

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Strategi Pemasaran Menggunakan Metode Kombinasi SWOT Dan AHP (Studi Kasus : STMIK Pradnya Paramita) Utsalina, Dwi Safiroh; Dewa, Weda Adistianaya
SMATIKA JURNAL Vol 5 No 02 (2015): Smatika Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1742.365 KB)

Abstract

STMIK Pradnya Paramita Malang adalah salah satu perguruan tinggi swasta yang berumur lebih dari 1 dasawarsa. Supaya dapat tetap bertahan, STMIK harus mampu berkompetisi dengan perguruan tinggi lain pada umumnya, dan perguruan tinggi dengan program studi yang berbasis komputer pada khususnya. Salah satu upaya untuk memenangkan kompetisi yaitu harus ada beberapa strategi pemasaran yang tepat. fokus penelitian ini pada pemilihan strategi pemasaran yang sesuai dengan faktor internal dan eksternal di lingkungan STMIK Pradnya Paramita Malang, dengan menggunakan kombinasi antara Analisis SWOT dan AHP. Hasil dari penelitian ini adalah menyimpulkan bahwa berdasarkan analisis SWOT menghasilkan beberapa strategi yang fokus untuk menggunakan kelebihan yang dimiliki untuk memanfaatkan peluang yang ada, dan pemilihan prioritas strategi pemasaran adalah menjalankan kegiatan sosialisasi PMC, pelatihan, presentasi yang ditujukan ke instansi swasta.
Strategi Pemasaran Menggunakan Metode Kombinasi SWOT Dan AHP (Studi Kasus : STMIK Pradnya Paramita) Dwi Safiroh Utsalina; Weda Adistianaya Dewa
SMATIKA JURNAL Vol 5 No 02 (2015): Smatika Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1742.365 KB) | DOI: 10.32664/smatika.v5i02.77

Abstract

STMIK Pradnya Paramita Malang adalah salah satu perguruan tinggi swasta yang berumur lebih dari 1 dasawarsa. Supaya dapat tetap bertahan, STMIK harus mampu berkompetisi dengan perguruan tinggi lain pada umumnya, dan perguruan tinggi dengan program studi yang berbasis komputer pada khususnya. Salah satu upaya untuk memenangkan kompetisi yaitu harus ada beberapa strategi pemasaran yang tepat. fokus penelitian ini pada pemilihan strategi pemasaran yang sesuai dengan faktor internal dan eksternal di lingkungan STMIK Pradnya Paramita Malang, dengan menggunakan kombinasi antara Analisis SWOT dan AHP. Hasil dari penelitian ini adalah menyimpulkan bahwa berdasarkan analisis SWOT menghasilkan beberapa strategi yang fokus untuk menggunakan kelebihan yang dimiliki untuk memanfaatkan peluang yang ada, dan pemilihan prioritas strategi pemasaran adalah menjalankan kegiatan sosialisasi PMC, pelatihan, presentasi yang ditujukan ke instansi swasta.
Evaluasi Pendampingan Branding berbasis Platform Digital bagi UMKM se-Malang Raya Tubagus Mohamad Akhriza; Evy Sophia; Weda Adistianaya Dewa
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 12 No 02 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i02.734

Abstract

IAII-Jatim has organized a digital platform-based business branding assistance activity for MSMEs in Malang Raya. The material provided is the concept and design of logos, packaging and ad copy which are elements of a brand. The evaluation of the results of the assistance has been carried out, and a report on this activity and the results of the evaluation is presented in this article. One of the evaluation methods applied is the clustering of business units and their responses to the materials and activities of this assistance. Using K-means, four clusters were obtained which explained that there are some business units that do not want to use digital platforms for branding, some units that have used several social media for branding but do not want to apply the proposed branding element design, while other units want to apply the proposed design on the digital platform they have been using so far.
Model Sistem Cerdas untuk Rekomendasi Market Matching Negara Tujuan Ekspor bagi UMKM Eka Yuniar; Weda Adistianaya Dewa; Fakhruddin Arozi; Ahmad Mihdan Advani
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.943

Abstract

Export is one way to improve the performance and growth of the MSME business. However, entering the export market is not as easy as one might think. MSMEs have to consider many factors such as regulatory requirements of the destination country, consumer preferences, and competition with local producers in the destination country. In addition, some of the obstacles to the export of MSME products are slow product turnover in importing countries because product stocks do not sell out immediately in these countries and sometimes reach the expiration date. The number of Indonesian MSMEs has reached 65.5 million, which is the largest in ASEAN countries. In addition, the contribution of MSMEs is recorded at around 61% of the national PDP and absorbs 97% of the total workforce in 2021. To assist MSMEs in choosing export destination countries, an intelligent system is needed that can recommend the right destination countries based on the characteristics of MSME products. As for how to determine the Export Destination country by using one of them based on the Trademap site. The urgency of this research aims to build an intelligent system model based on machine learning using the KNN method to recommend the right export destination countries for MSMEs. This machine learning-based intelligent system model is expected to be one of the solutions for MSMEs to effectively expand their markets abroad. This research is also expected to contribute to the development of an intelligent system that can assist MSMEs in choosing the right export destination countries and increasing export effectiveness. The results showed an accuracy rate of 99%, with a precision level of 100%, 100% recall, 100% f1-score.
Co-Authors Agus Edi Istanto, Agus Edi Agustina, Rini Ahmad Mihdan Advani Amalia Deviati Putri Daeng Ahmad Suaedi, Daeng Ahmad Damayanti, Mita Septiana Dian Octorasari, Dian Dimas Kita Ladiba Dinny Wahyu Widarti Dodit Suprianto Dwi Safiroh Utsalina Eka Yuniar Evy Sophia Evy Sophia Fakhruddin Arozi Indah Dwi Mumpuni Jauharul Maknunah Linda Suvi Rahmawati Nuraska, Dina Pradipta, Zein Hilmy Ananda Prasetiya, Panca Samsul Arifin Tubagus Mohamad Akhriza Tubagus Mohammad Akhriza